Skip to main contentSkip to search and navigation

UEF eREPOSITORY

    • English
    • suomi
  • English 
    • English
    • suomi
  • Login
View Item 
  •   Home
  • Artikkelit
  • Luonnontieteiden ja metsätieteiden tiedekunta
  • View Item
  •   Home
  • Artikkelit
  • Luonnontieteiden ja metsätieteiden tiedekunta
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

POnline: An Online Pupil Annotation Tool Employing Crowd-sourcing and Engagement Mechanisms

Thumbnail
Files
Article (1000.Kb)
Self archived version
published version
Date
2019
Author(s)
Gil de Gómez Pérez, David
Bednarik, Roman
Unique identifier
10.15346/hc.v6i1.9
Metadata
Show full item record
More information
Research Database SoleCris

Self-archived article

Citation
Gil de Gómez Pérez, David. Bednarik, Roman. (2019). POnline: An Online Pupil Annotation Tool Employing Crowd-sourcing and Engagement Mechanisms.  Human computation, 6 (1) , 176-191. 10.15346/hc.v6i1.9.
Rights
© Gil de Gómez & Bednarik
Licensed under
CC BY http://creativecommons.org/licenses/by/3.0/
Abstract

Pupil center and pupil contour are two of the most important features in the eye-image used for video-based eye-tracking. Well annotated databases are needed in order to allow benchmarking of the available- and new pupil detection and gaze estimation algorithms. Unfortunately, creation of such a data set is costly and requires a lot of efforts, including manual work of the annotators. In addition, reliability of manual annotations is hard to establish with a low number of annotators. In order to facilitate progress of the gaze tracking algorithm research, we created an online pupil annotation tool that engages many users to interact through gamification and allows utilization of the crowd power to create reliable annotations \cite{artstein2005bias}. We describe the tool and the mechanisms employed, and report results on the annotation of a publicly available data set. Finally, we demonstrate an example utilization of the new high-quality annotation on a comparison of two state-of-the-art pupil center algorithms.

Subjects
gaze tracking   eye tracking   pupil tracking   annotation   crowd-sourcing   collaboration   wisdom of the crowd   
URI
https://erepo.uef.fi/handle/123456789/7949
Link to the original item
http://dx.doi.org/10.15346/hc.v6i1.9
Publisher
Human Computation Institute
Collections
  • Luonnontieteiden ja metsätieteiden tiedekunta [1109]
University of Eastern Finland
OpenAccess
eRepo
erepo@uef.fi
OpenUEF
Service provided by
the University of Eastern Finland Library
Library web pages
Twitter
Facebook
Youtube
Library blog
 sitemap
Search

Browse

All of the ArchiveResource types & CollectionsBy Issue DateAuthorsTitlesSubjectsFacultyDepartmentFull organizationSeriesMain subjectThis CollectionBy Issue DateAuthorsTitlesSubjectsFacultyDepartmentFull organizationSeriesMain subject

My Account

Login
University of Eastern Finland
OpenAccess
eRepo
erepo@uef.fi
OpenUEF
Service provided by
the University of Eastern Finland Library
Library web pages
Twitter
Facebook
Youtube
Library blog
 sitemap